ASRock B760M Pro RS
Geekbench AI Score
6822
Single Precision Score
6788
Half Precision Score
15204
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4385
815.6 IPS |
|
|
Image Classification (HP)
|
100% |
4471
831.4 IPS |
|
|
Image Classification (Q)
|
100% |
9529
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5669
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5709
92.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9612
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
7317
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
28832
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
3865
306.6 IPS |
|
|
Object Detection (HP)
|
100% |
4092
324.6 IPS |
|
|
Object Detection (Q)
|
88% |
9772
783.4 IPS |
|
|
Face Detection (SP)
|
100% |
10896
129.5 IPS |
|
|
Face Detection (HP)
|
100% |
11204
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
23199
275.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9972
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10601
81.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
27036
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22754
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19512
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86037
110.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5370
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15817
585.8 IPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5611
96.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5620
96.8 IPS |
